Using DSRC Road-Side Unit Data to Derive Braking Behavior

Rahul Sengupta, Tania Banerjee, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan

2023

Abstract

With the increasing deployment of Connected Vehicle Technology (via DSRC/CV2X), public traffic authorities are presented with a potential treasure trove of valuable data for analysis. However, several practical limitations exist that pose unique challenges in this publicly-collected data such as lack of vehicle re-identification due to privacy measures, sparsity of data, limited range of transmission, noise in recorded trajectories etc. In this paper, we analyze trajectories for braking behaviors of Connected Vehicle Road-side Unit (RSU) data. The dataset consists of trajectories collected from a dense urban grid consisting of 25 intersections along 4 high-volume arterials, for a period of 1 year. We begin by providing a brief description of the data collection and processing modalities. We then present a tool to perform exploratory analytics on the data with a focus on anomalous trajectories with hard-braking events. We show the benefits of such a tool for public traffic authorities to gain insights into the performance and safety aspects of urban arterials, and to guide policy decisions.

Paper Citation

in Harvard Style

Sengupta R., Banerjee T., Karnati Y., Ranka S. and Rangarajan A. (2023). Using DSRC Road-Side Unit Data to Derive Braking Behavior. In Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-652-1, SciTePress, pages 420-427. DOI: 10.5220/0012025300003479

in Bibtex Style

@conference{vehits23,
author={Rahul Sengupta and Tania Banerjee and Yashaswi Karnati and Sanjay Ranka and Anand Rangarajan},
title={Using DSRC Road-Side Unit Data to Derive Braking Behavior},
booktitle={Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2023},
pages={420-427},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012025300003479},
isbn={978-989-758-652-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Using DSRC Road-Side Unit Data to Derive Braking Behavior
SN - 978-989-758-652-1
AU - Sengupta R.
AU - Banerjee T.
AU - Karnati Y.
AU - Ranka S.
AU - Rangarajan A.
PY - 2023
SP - 420
EP - 427
DO - 10.5220/0012025300003479
PB - SciTePress